Benchmarking Quantum Computational Advantages on Supercomputers

IF 4.4 Q1 OPTICS
Junjie Wu, Yong Liu
{"title":"Benchmarking Quantum Computational Advantages on Supercomputers","authors":"Junjie Wu,&nbsp;Yong Liu","doi":"10.1002/qute.202400143","DOIUrl":null,"url":null,"abstract":"<p>The achievement of quantum computational advantage, also known as quantum supremacy, is a major milestone at which a quantum computer can solve a problem significantly faster than the world's most powerful classical computers. Two tasks, boson sampling and random quantum circuit sampling, have experimentally exhibited quantum advantages on photonic and superconducting platforms respectively. Classical benchmarking is essential, yet challenging, because these tasks are intractable for classical computers. This study reviews models, algorithms and large-scale simulations of these two sampling tasks. These approaches continue to hold substantial significance for research in both current noisy intermediate-scale quantum (NISQ) systems and future fault-tolerant quantum computing.</p>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"7 11","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced quantum technologies","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/qute.202400143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0

Abstract

The achievement of quantum computational advantage, also known as quantum supremacy, is a major milestone at which a quantum computer can solve a problem significantly faster than the world's most powerful classical computers. Two tasks, boson sampling and random quantum circuit sampling, have experimentally exhibited quantum advantages on photonic and superconducting platforms respectively. Classical benchmarking is essential, yet challenging, because these tasks are intractable for classical computers. This study reviews models, algorithms and large-scale simulations of these two sampling tasks. These approaches continue to hold substantial significance for research in both current noisy intermediate-scale quantum (NISQ) systems and future fault-tolerant quantum computing.

Abstract Image

超级计算机量子计算优势基准测试
实现量子计算优势(也称为量子优势)是一个重要的里程碑,在这个里程碑上,量子计算机解决问题的速度明显快于世界上最强大的经典计算机。在光子平台和超导平台上,玻色子采样和随机量子电路采样这两项任务分别在实验中展现了量子优势。经典基准测试非常重要,但也极具挑战性,因为这些任务对经典计算机来说难以完成。本研究回顾了这两项采样任务的模型、算法和大规模模拟。这些方法对于当前的噪声中量子(NISQ)系统和未来的容错量子计算研究仍具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
7.90
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信